How I Built an AI-Powered B2B Supplier Matching Platform (MapleBridge.io)

Finding a reliable Chinese supplier as a North American buyer is painful. You browse Alibaba for hours, message dozens of factories, get ghosted by half, and discover the other half are actually trading companies pretending to be manufacturers. I built MapleBridge.io to solve this with AI matching instead of directory browsing. The Problem with Traditional B2B Platforms Alibaba, Global Sources, and Made-in-China are essentially directories . You search by keyword, scroll through pages of results, and manually evaluate each supplier. This model has three fundamental flaws: Keyword mismatch — Factories describe products differently than buyers search for them No compliance filtering — A US buyer needs CPSC/FCC compliance; a Canadian buyer needs Health Canada/IC certification. Directories don't filter by regulatory requirements Quantity blindness — Most factories list MOQ 1,000+ but will actually accept 200 units. The directory doesn't surface this The AI Matching Approach MapleBridge.io